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Technical Competencies

Mobile/Wireless domain

3GPP, SS7 - ISUP, TCAP, INAP for Revenue Management, Policy Control & Charging (OCS, GGSN, PCRF, PCEF) & adjacent nodes (Multi-Activation, Multi-Mediation, HLR, HSS, Billing, Voucher Server, Business Analytics, Partner Relation Management & Campaign Management.

Programming & scripting

C/C++, Python, NumPy, Pandas, Matplotlib, bash, csh, awk, perl, tcl, OpenGL, GLUT, VTK/tcl, Xcode, Selenium

API

XML, SOAP, JSON

Database

SQL, PL/SQL, NoSQL, Oracle, Timesten Cache

Machine Learning

Supervised, Unsupervised, and Deep Learning

Data Visualisation

Tableau, Bootstrap, CSS/Web, Javascript, D3.js, Geomapping with Leaftlet.js

Operating System

Linux, Unix

Cloud

Google Cloud Platform (GCP), Amazon Web Services (AWS)

Networking

SNMP, DNS, server cluster

Agile & SCRUM Methodology

Suyin W.B.'s Projects

amazon_vine_analysis icon amazon_vine_analysis

Determine if there is any bias toward favourable reviews from Vine members (paid reviews) in Amazon product reviews.

bikesharing icon bikesharing

Analyse Citi Bike NYC in August 2019 to potentially implement bike-sharing system in Des Moines, Iowa

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

credit_risk_analysis icon credit_risk_analysis

Using the credit card credit dataset from LendingClub, a peer-to-peer lending services company, you’ll oversample the data using the RandomOverSampler and SMOTE algorithms, and undersample the data using the ClusterCentroids algorithm. Then, you’ll use a combinatorial approach of over- and undersampling using the SMOTEENN algorithm.

cryptocurrencies icon cryptocurrencies

The data Martha will be working with is not ideal, so it will need to be processed to fit the machine learning models. Since there is no known output for what Martha is looking for, she has decided to use unsupervised learning. To group the cryptocurrencies, Martha decided on a clustering algorithm. She’ll use data visualizations to share her findings with the board.

kdrama icon kdrama

Using data scraped from mydramalist.com, I will like to create a recommendation system catered for me

kuryana icon kuryana

A serverless web scraper api for MyDramaList.com

mapping_earthquakes icon mapping_earthquakes

The purpose of this project is to visually show the differences between the magnitudes of earthquakes all over the world for the last seven days.

mechacar_statistical_analysis icon mechacar_statistical_analysis

Perform multiple linear regression analysis to identify which variables in the dataset predict the mpg of MechaCar prototypes Collect summary statistics on the pounds per square inch (PSI) of the suspension coils from the manufacturing lots Run t-tests to determine if the manufacturing lots are statistically different from the mean population Design a statistical study to compare vehicle performance of the MechaCar vehicles against vehicles from other manufacturers. For each statistical analysis, you’ll write a summary interpretation of the findings.

neural_network_charity_analysis icon neural_network_charity_analysis

From Alphabet Soup’s business team, Beks received a CSV containing more than 34,000 organizations that have received funding from Alphabet Soup over the years. Within this dataset are a number of columns that capture metadata about each organization

plotly_deployment icon plotly_deployment

Interactive webpage that allows volunteers and researchers to parse each volunteer's test info

project_disney icon project_disney

What if we could leverage the many Disney intellectual properties and continue to earn revenue for an extended amount of time after the initial movie release?

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